Computer operation and maintenance method based on artificial intelligence visual identification

Abstract

The invention discloses a computer operation and maintenance method based on artificial intelligence visual identification, and relates to the technical field of computer operation and maintenance, and the method comprises the following steps: obtaining current network state operation information which comprises normal current network connection or abnormal current network connection; if the current network connection is abnormal, collecting image information of a current running client interface; identifying the obtained client interface image information to obtain an analysis report; and obtaining a solution based on the analysis report, and pushing the solution to the user, including pushing assistance fault processing to the user. The method is high in timeliness and timely in response, meets daily operation and maintenance requirements, meets operation and maintenance of different crowds and different environments, and can assist a user in rapidly solving problems.

Description

technical field [0001] The present invention relates to the technical field of computer operation and maintenance, in particular to a computer operation and maintenance method based on artificial intelligence visual recognition. Background technique [0002] At present, during the use of computer software, when failures occur due to software defects, network problems, system failures, etc., when ordinary users cannot directly determine the cause of the failure and how to deal with it, they usually contact the operation and maintenance department for processing. Maintenance department personnel usually have to go to the site to fully understand the faulty system, the details of the problem, and deal with the problem, and the whole process takes too long. [0003] Therefore, the computer operation and maintenance system came into being. The computer operation and maintenance system usually includes the front-end operation and maintenance application mainstream on the client co...

AI Technical Summary

Problems solved by technology

[0005] 1. The operation and maintenance system does not have network detection capabilities: the front-end operation and maintenance application cannot automatically diagnose the user's current network status, and has no self-inspection and update capabilities for the network situation. Since a large number of system failures come from network failures, the front-end operation and maintenance application The network cannot be diagnosed automatically. If a network failure occurs, human intervention is required to solve the problem.

[0006] 2. The operation and maintenance system does not have the ability to identify software: since a large number of current systems are presented in the form of a browser, the front-end operation and maintenance application cannot determine the software system that is currently running, and cannot find the problem solution for the corresponding system from the knowledge base suggestion

[0007] 3. The operation and maintenance system does not have the ability to identify faults: most of the systems run by users belong to the web platform, and the error pop-up window cannot be intercepted, so it is difficult to locate the cause of the fault, and it does not have the ability to identify faults at the application level

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